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Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment

2015-03-03 Medical
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Release : 2015-03-03
Genre : Medical
Kind : eBook
Book Rating : 337/5 ( reviews)

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Book Synopsis Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment by : Kunal Roy

Download or read book Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment written by Kunal Roy. This book was released on 2015-03-03. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-activity relationship (QSAR) approaches and their fundamental principles. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR. Containing real-world examples that illustrate important methodologies, this book identifies QSAR as a valuable tool for many different applications, including drug discovery, predictive toxicology and risk assessment. Written in a straightforward and engaging manner, this is the ideal resource for all those looking for general and practical knowledge of QSAR methods. - Includes numerous practical examples related to QSAR methods and applications - Follows the Organization for Economic Co-operation and Development principles for QSAR model development - Discusses related techniques such as structure-based design and the combination of structure- and ligand-based design tools

Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment

2015-02-28 Technology & Engineering
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Release : 2015-02-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 373/5 ( reviews)

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Book Synopsis Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment by : Roy, Kunal

Download or read book Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment written by Roy, Kunal. This book was released on 2015-02-28. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.

Three Dimensional QSAR

2019-10-21
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Release : 2019-10-21
Genre :
Kind : eBook
Book Rating : 169/5 ( reviews)

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Book Synopsis Three Dimensional QSAR by : Jean-Pierre Doucet

Download or read book Three Dimensional QSAR written by Jean-Pierre Doucet. This book was released on 2019-10-21. Available in PDF, EPUB and Kindle. Book excerpt: With numerous examples and more than 1,000 references, this book presents the most recent QSAR methods and illustrates their scope, advantages, and limitations. It offers extended comparisons of 2.5D methods in which the 3D information is masked by data preprocessing and emphasizes the synergy of various aspects of chemoinformatics, including neural networks, genetic algorithms, support vector machines, data mining, and pharmacophore detection. The authors include actual calculations of the thermodynamic cycle and free energy perturbations. They also present the basic principles of molecular modeling methods and recent statistical/mathematical approaches.

Computational Toxicology

2007-06-30 Science
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Release : 2007-06-30
Genre : Science
Kind : eBook
Book Rating : 889/5 ( reviews)

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Book Synopsis Computational Toxicology by : Sean Ekins

Download or read book Computational Toxicology written by Sean Ekins. This book was released on 2007-06-30. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted using computer-based tools utilizing X-ray crystal structures or homology, receptor, pharmacophore, and quantitative structure activity relationship (QSAR) models of human proteins. It covers the in vitro models used, newer technologies, and regulatory aspects. The book offers a complete systems perspective to risk assessment prediction, discussing experimental and computational approaches in detail, with: * An introduction to toxicology methods and an explanation of computational methods * In-depth reviews of QSAR methods applied to enzymes, transporters, nuclear receptors, and ion channels * Sections on applying computers to toxicology assessment in the pharmaceutical industry and in the environmental arena * Chapters written by leading international experts * Figures that illustrate computational models and references for further information This is a key resource for toxicologists and scientists in the pharmaceutical industry and environmental sciences as well as researchers involved in ADMET, drug discovery, and technology and software development.

A Primer on QSAR/QSPR Modeling

2015-04-11 Science
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Release : 2015-04-11
Genre : Science
Kind : eBook
Book Rating : 816/5 ( reviews)

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Book Synopsis A Primer on QSAR/QSPR Modeling by : Kunal Roy

Download or read book A Primer on QSAR/QSPR Modeling written by Kunal Roy. This book was released on 2015-04-11. Available in PDF, EPUB and Kindle. Book excerpt: This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties. It explains how the sub-discipline of Cheminformatics is used for many applications such as risk assessment, toxicity prediction, property prediction and regulatory decisions apart from drug discovery and lead optimization. The authors also present, in basic terms, how QSARs and related chemometric tools are extensively involved in medicinal chemistry, environmental chemistry and agricultural chemistry for ranking of potential compounds and prioritizing experiments. At present, there is no standard or introductory publication available that introduces this important topic to students of chemistry and pharmacy. With this in mind, the authors have carefully compiled this brief in order to provide a thorough and painless introduction to the fundamental concepts of QSAR/QSPR modelling. The brief is aimed at novice readers.

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